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UpToCode

作者:DDYRich72版本 1.0.0i★ –i电脑或云端
注册名称io.github.DDYRich72/uptocode

安装

概览

作者提供的说明(英文原文)

Evidence-backed architecture-quality analysis for Python agent applications.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "uptocode": {
      "command": "uvx",
      "args": [
        "uptocode",
        "serve",
        "--transport",
        "stdio"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http uptocode https://uptocode-mcp-1015314816960.us-central1.run.app/mcp --header 'Authorization: Bearer {UPTOCODE_API_KEY}'

或者在你的电脑上运行

claude mcp add uptocode -- uvx uptocode serve --transport stdio

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "uptocode": {
      "url": "https://uptocode-mcp-1015314816960.us-central1.run.app/mcp",
      "headers": {
        "Authorization": "Bearer {UPTOCODE_API_KEY}"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "uptocode": {
      "command": "uvx",
      "args": [
        "uptocode",
        "serve",
        "--transport",
        "stdio"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "uptocode": {
      "type": "http",
      "url": "https://uptocode-mcp-1015314816960.us-central1.run.app/mcp",
      "headers": {
        "Authorization": "Bearer {UPTOCODE_API_KEY}"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "uptocode": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "uptocode",
        "serve",
        "--transport",
        "stdio"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization HTTP header

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 DDYRich72 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32545 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32545 个服务器的 18% 更新
  • 基础检查结果等于或优于此分类中其他 32545 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

UpToCode 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Python MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Python MCP

作者:Files-com

Local-only Python MCP server for the Files.com API.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

UpToCode

UpToCode is a design-time architecture-quality scanner for Python and TypeScript agent applications. It finds missing execution bounds, run budgets, approvals, validation, resilience controls, evals, and observability; explains the evidence; and produces an approval-driven plan for Codex without rewriting source code.

The product is deliberately narrower than a general agent-security scanner. Version 1.7 recognizes OpenAI, Anthropic, CrewAI, PydanticAI, LlamaIndex, LangGraph, conservative custom Python/TypeScript loops, and positive evidence of unbounded context growth. Static scans are local and offline. Optional GPT‑5.6 judgment remains explicit, bounded, redacted, and code-sharing gated.

The Python distribution, import package, and command are all uptocode. Version 1.0.0

is the published baseline; this source tree is prepared as 1.10.0 for the operator-gated Batch 3 release train.

Install locally

UpToCode requires Python 3.11 or newer. Install the verified 1.0 release from PyPI:

python -m pip install "uptocode==1.0.0"

uptocode --help

For repository development, use the editable test environment:

python -m pip install -e ".[test]"

uptocode --help

All ordinary tests are mocked/offline:

python -m pytest -q

python scripts/acceptance.py

Judge test build

The repository and package are public. No hosted credential or paid model call is required for the complete offline test build.

git clone https://github.com/DDYRich72/UpToCode.git

cd UpToCode python -m venv .venv

Activate the environment with .venv\Scripts\activate on Windows PowerShell or source .venv/bin/activate on POSIX, then run:

python -m pip install --upgrade pip

python -m pip install -e ".[test]" uptocode scan fixtures/bad_python --fail-on critical uptocode scan fixtures/bad_python --format json --output report.json uptocode review report.json --approve AA001,AA003 --reject AA012 --non-interactive uptocode plan report.json --manifest .uptocode/manifest.json --output FIXPLAN.md python scripts/acceptance.py

The first scan intentionally exits 1 because the fixture contains critical findings. The remaining commands produce a report-bound review manifest and an approved-only FIXPLAN.md; they do not edit the fixture. To inspect the local MCP surface, run uptocode serve --transport stdio --root . from an MCP client or use the JSON registration under MCP registration. python scripts/acceptance.py also launches a real stdio server, lists all ten tools, and calls check_loop offline.

The submitted-content hosted transport is deployed at https://uptocode-mcp-1015314816960.us-central1.run.app/mcp. Its bearer credential is issued separately and read from UPTOCODE_API_KEY; never commit it or enter it into the website. The immutable production revision passed readiness, unauthorized-access, AA001, tool-discovery, judgment-gate, rate-limit, and payload-free-log checks. Hosted judgment is off, no OpenAI key is attached, and verification made zero paid model calls.

Scan, review, plan

uptocode scan PATH [--format terminal|json|html|github|sarif] [--output FILE]

[--judgment --send-code] [--fail-on critical|warning|info] [--include-experimental] [--share-safe] [--baseline FILE|--update-baseline FILE] [--changed-since REF] [--select RULES] [--ignore RULES] [--exclude GLOB] [--severity RULE=LEVEL] [--fail-on-analysis-warning] [--github-summary PATH] [--verbose] uptocode review REPORT [--approve IDS|--approve-all] [--reject IDS] [--reuse MANIFEST] [--non-interactive] uptocode plan REPORT --manifest MANIFEST [--output FIXPLAN.md] uptocode fix REPORT --manifest MANIFEST --runner codex|command [--command TEMPLATE] [--verify-command COMMAND] [--apply] uptocode serve --transport stdio --root PATH uptocode serve --transport streamable-http --mode hosted

Scanning, review, planning, and the default fix preview are non-mutating:

uptocode scan . --format json --output report.json

uptocode review report.json --approve AA001,AA003 --reject AA012 --non-interactive uptocode plan report.json --manifest .uptocode/manifest.json --output FIXPLAN.md uptocode fix report.json --manifest .uptocode/manifest.json --runner codex

review binds decisions to the exact report fingerprint. plan refuses a mismatched manifest and includes only approved findings. Neither command edits the scanned repository. fix is also a no-write dry-run unless --apply is supplied. The applying path requires a clean Git checkout, creates one retained uptocode/fix- branch/worktree per approved finding, invokes only the selected external runner there, verifies fingerprint absence, and never commits, merges, deletes work, or changes the invoking checkout.

Exit codes are 0 for no configured threshold breach, 1 for a finding at or above --fail-on (or a requested analysis-warning gate), and 2 for invalid configuration or an unrecoverable scan error. Experimental findings remain visible but require --include-experimental to affect --fail-on. --share-safe sanitizes JSON, HTML, or SARIF for distribution while retaining the repository revision. Baseline 2.1 reports new, aging, and resolved debt and preserves first_seen when updated. Suppressions may include owner, quoted reason, and an inclusive expires date. HTML requires --output. GitHub workflow commands escape untrusted command data and properties. SARIF 2.1.0 omits absent fields, declares default rule levels, and carries stable partial fingerprints. --github-summary PATH appends a bounded Markdown summary; when GITHUB_STEP_SUMMARY is set, the summary is appended there automatically.

Pre-commit

repos:
  • repo: https://github.com/DDYRich72/UpToCode rev: v1.1.0 hooks:
  • id: uptocode

Run pre-commit install, then use pre-commit run uptocode --all-files. To copy the project badge into your own README:

[![Scanned with UpToCode](https://img.shields.io/badge/scanned%20with-UpToCode-175cd3)](https://github.com/DDYRich72/UpToCode)

GitHub Action

The repository ships a composite Action that installs UpToCode from the Action checkout, runs the scan, uploads SARIF with always(), and only then returns the preserved scanner exit code:

permissions:

contents: read security-events: write

steps:

  • uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
  • uses: DDYRich72/UpToCode@v1.0.0 with: path: . fail-on: critical version: source upload-sarif: "true"

version: source installs from the checked-out Action source. An exact semantic version, such as 1.0.0, installs the matching uptocode PyPI release. Set upload-sarif: "false" when code-scanning upload is not desired; otherwise the calling workflow needs security-events: write.

Example terminal output:

UpToCode scan

Coverage: 1/1 files analyzed Findings: 11 | Warnings: 0 | Redactions: 3 [CRITICAL] AA001 agent.py:21 - Unbounded agent loop [CRITICAL] AA003 agent.py:11 - Ungated destructive action

Privacy model

  • Static scanning is the default and makes no network calls.
  • --judgment is rejected unless --send-code is also present.
  • Judgment sends only normalized evidence and bounded, redacted excerpts, grouped once per candidate rule. Requests use gpt-5.6, Pydantic Structured Outputs, store=false, a 2,000-token output ceiling, a 30-second timeout, and a six-rule call budget.
  • Recognized OpenAI keys, AWS access keys, bearer tokens, email addresses, and US Social Security numbers are replaced before report or judgment output. Detection is intentionally narrow and is not a substitute for a dedicated secret/PII scanner.
  • Nested .gitignore files, default build/dependency/generated exclusions, .uptocode.yml, 1 MiB per-file and 4 MiB aggregate limits, binary/non-Python exclusion, and explicit suppressions are honored. Production UpToCode source is gated at zero suppressions.
  • Refusal, timeout, authentication failure, or API failure never deletes static results; the report records partial or failed judgment status and an analysis warning.

No live API call is part of the offline test or acceptance suite. The submission smoke test requires a key and separate approval for paid usage.

Rules

IDArchitecture defectTierSeverityPrimary guidance
AA001Unbounded agent loopStaticcriticalAgents SDK runner
AA002Missing output/run budget controlsStaticcriticalOpenAI practical guide
AA003Ungated destructive actionStatic + judgmentcriticalAgents SDK approvals, OpenAI safety
AA004Unvalidated tool argumentsStaticcriticalOpenAI function calling, Anthropic tool definitions
AA005Raw untrusted content in promptsJudgmentcriticalOpenAI safety, Anthropic guardrails
AA006Secret or narrow PII exposureStaticcriticalOpenAI safety
AA007Missing timeout, retry, or retry backoffStaticwarningOpenAI practical guide
AA008Unjustified orchestration complexityJudgmentwarningAnthropic effective agents, OpenAI practical guide
AA009Poor tool schemaJudgmentwarningOpenAI function calling, Anthropic tool definitions
AA010Unvalidated model output before side effectStatic + judgmentwarningOpenAI function calling, OpenAI safety
AA011No agent eval coverageStatic + judgmentwarningOpenAI evals, Google ADK evaluation
AA012No agent observabilityStaticinfoAgents SDK tracing
AA013Unbounded context growthStaticwarningAnthropic effective agents, OpenAI practical guide

| AA014 | Network MCP without authentication | Static | critical | MCP authorization, [FastMCP

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